The three months of working on the project proved to be a very constructive experience for all the members of the group. The Semantic Web and in particular Recommender Systems, were an unfamiliar territory for us, but with the guidance of our tutor and numerous reading materials we now have an extensive knowledge of the subject. We also had the chance to apply good software engineering practices in building our software and learned how to plan and keep track of a long-term project, which played a crucial role in us becoming more competent Computer scientists.

When coming to measure the success of iSquirrel, we are confident to say we were successful in implementing a solid, interesting and fun application that can be well extended in the future to become a fully-fledged enterprise application.

We have achieved all of our initial goals and requirements, managed to include all of our said extensions and implemented a couple of extras that popped up as good ideas during the development phase. 

Our evaluation showed that our software, when compared to existing recommender systems, can stand to its ground. It makes good use of semantic information, and can, potentially, prove to be a descent social networking tool where users can find and communicate with friends, while discovering new things recommended by the system. One can also add, in a humorous way, that our profile comparison can be used as a tool for discovering potential dates as well!

Overall, we believe that iSquirrel can own its place in the Internet world. With the addition of features mentioned in Chapter~\ref{ch6}, and a redesign of what the system should recommend to follow the current media wave, it can have a strong presence in the Recommender Systems industry.